Exact(46)
In general terms, building a model forces the modeler to lay out his or her assumptions clearly; analyzing and simulating the model determines the logical implications of these assumptions; and comparing the conclusions to experimental facts assesses the explanatory and predictive power of the mechanistic hypothesis.
By simulating the model, we evaluated the efficacy of MMPi therapy.
After calibrating and simulating the model, we select those individuals who received Income Assistance benefits for 12 months.
Relational development between factors is observed by simulating the model according to the initial condition of the factors.
Transient results obtained from simulating the model are compared against the data from the device, which shows a good match as demonstrated by Huang et al. [88].
The advantage of simulating the model at the scale of a city is that, we do not need explicit evaluation for different environmental features, such as large open spaces, narrow cluttered environments, dead-end corridors, and rooms in a building.
Similar(13)
Simulating the models, the authors made predictions for effective combinations of perturbation.
This intermediate representation is used to produce a simulator executable, which, in turn, simulates the model signaling pathway.
Customizable simulator is written in MATLAB to simulate the model.
We simulate the model by Monte Carlo method.
Finally, we simulate the model to illustrate our results.
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